School of Pharmacy, University of Otago, Dunedin, New Zealand.
Department of Pediatrics, Wright State University Boonshoft School of Medicine/Dayton Children's Hospital. Dayton, OH, USA.
Br J Clin Pharmacol. 2022 Dec;88(12):5348-5358. doi: 10.1111/bcp.15459. Epub 2022 Jul 27.
Current enoxaparin dosing guidelines in children are based on total body weight. This is potentially inappropriate in obese children as it may overestimate the drug clearance. Current evidence suggests that obese children may require lower initial doses of enoxaparin, therefore the aim of this work was to characterise the pharmacokinetics of enoxaparin in obese children and to propose a more appropriate dosing regimen.
Data from 196 unique encounters of 160 children who received enoxaparin treatment doses were analysed. Enoxaparin concentration was quantified using the chromogenic anti factor Xa (anti-Xa) assay. Patients provided a total of 552 anti-Xa samples. Existing published pharmacokinetic (PK) models were fitted and evaluated against our dataset using prediction-corrected visual predictive check plots (pcVPCs). A PK model was fitted using a nonlinear mixed-effects modelling approach. The fitted model was used to evaluate the current standard dosing and identify an optimal dosing regimen for obese children.
Published models of enoxaparin pharmacokinetics in children did not capture the pharmacokinetics of enoxaparin in obese children as shown by pcVPCs. A one-compartment model with linear elimination best described the pharmacokinetics of enoxaparin. Allometrically scaled fat-free mass with an estimated exponent of 0.712 (CI 0.66-0.76) was the most influential covariate on clearance while linear fat-free mass was selected as the covariate on volume. Simulations from the model showed that fat-free mass-based dosing could achieve the target anti-Xa activity at steady state in 77.5% and 78.2% of obese and normal-weight children, respectively, compared to 65.2% and 75.5% for standard total body weight-based dosing.
A population PK model that describes the time course of anti-Xa activity of enoxaparin was developed in a paediatric population. Based on this model, a unified dosing regimen was proposed that will potentially improve the success rate of target attainment in overweight/obese patients without the need for patient body size categorisation. Therefore, prospective validation of the proposed approach is warranted.
目前儿童依诺肝素的剂量指南基于总体重。这在肥胖儿童中可能并不合适,因为它可能高估了药物清除率。目前的证据表明,肥胖儿童可能需要较低的依诺肝素初始剂量,因此本研究旨在描述肥胖儿童依诺肝素的药代动力学特征,并提出更合适的给药方案。
分析了 160 名接受依诺肝素治疗剂量的儿童 196 次独特就诊的数据。使用显色抗因子 Xa(抗-Xa)测定法定量依诺肝素浓度。患者共提供了 552 个抗-Xa 样本。使用预测校正可视化预测检查图(pcVPC)对现有的已发表的药代动力学(PK)模型进行拟合,并对我们的数据进行评估。使用非线性混合效应建模方法拟合 PK 模型。使用拟合模型评估当前标准给药方案,并确定肥胖儿童的最佳给药方案。
pcVPC 显示,已发表的儿童依诺肝素药代动力学模型不能捕捉肥胖儿童依诺肝素的药代动力学。具有线性消除的单室模型最能描述依诺肝素的药代动力学。清除率的最主要影响因素是按比例缩放的无脂肪质量,估计指数为 0.712(CI 0.66-0.76),而体积的选择因素是线性无脂肪质量。模型模拟结果显示,与标准的基于总体重的给药方案相比,基于无脂肪质量的给药方案可使 77.5%和 78.2%的肥胖和正常体重儿童在稳态时达到目标抗-Xa 活性,而标准的基于总体重的给药方案仅为 65.2%和 75.5%。
开发了一种描述依诺肝素抗-Xa 活性时间过程的群体 PK 模型,该模型在儿科人群中得到了验证。基于该模型,提出了一种统一的给药方案,这可能会提高超重/肥胖患者目标达标率,而无需对患者体型进行分类。因此,有必要进行前瞻性验证。